Student Researcher (Multimodal Interaction and World Model - Seed) - 2027 Start (BS/MS)

About the team

The Seed Multimodal Interaction and World Model team is dedicated to developing models that have human-level multimodal understanding and interaction capabilities. The team is working to advance the exploration and development of multimodal assistant products.

Responsibilities

• Support research and development of foundation models and systems.
• Experiment with model improvements and evaluation methods.
• Implement algorithms, models, or system components.
• Collaborate with team members on research and engineering tasks.

Minimum Qualifications:

• Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field.
• Strong coding skills and understanding of data structures and algorithms, proficient in Python or C/C++.
• Experience with machine learning or related areas through coursework, projects, or internships.

Preferred Qualifications:

• Demonstrated research track record with publications in conferences related to multimodal learning, machine learning, or artificial intelligence.
• Strong problem-solving and communication skills.